scholarly journals Development and release of phenological data products—A case study in compliance with federal open data policy

2018 ◽  
Author(s):  
Alyssa H. Rosemartin ◽  
Madison L. Langseth ◽  
Theresa M. Crimmins ◽  
Jake F. Weltzin
Author(s):  
Rafael Valenzuela ◽  
Alberto Ochoa

The objective of the chapter is to identify some barriers to accessing public data through the study of one of the pillars of Mexico's national open data policy, the Open Mexico Network. Based on the exploratory analysis of the “Mexico Abierto network” and the description of a case study in northern Mexico, an attempt is made to answer the following question: Does Mexico's national open data policy generate timely data and have efficient access to data? and the final question, Is it easy for citizens to obtain? The study identifies major problems from the design of the national policy of open data, such as not having foreseen the creation of positive incentives for local governments to update the databases in the “México Abierto network.”


Author(s):  
Edgar Meij ◽  
Marc Bron ◽  
Laura Hollink ◽  
Bouke Huurnink ◽  
Maarten de Rijke
Keyword(s):  

2016 ◽  
Vol 8 (4) ◽  
pp. 279 ◽  
Author(s):  
Gijs Simons ◽  
Wim Bastiaanssen ◽  
Le Ngô ◽  
Christopher Hain ◽  
Martha Anderson ◽  
...  

2021 ◽  
Author(s):  
Oliver Benning ◽  
Jonathan Calles ◽  
Burak Kantarci ◽  
Shahzad Khan

This article presents a practical method for the assessment of the risk profiles of communities by tracking / acquiring, fusing and analyzing data from public transportation, district population distribution, passenger interactions and cross-locality travel data. The proposed framework fuses these data sources into a realistic simulation of a transit network for a given time span. By shedding credible insights into the impact of public transit on pandemic spread, the research findings will help to set the groundwork for tools that could provide pandemic response teams and municipalities with a robust framework for the evaluations of city districts most at risk, and how to adjust municipal services accordingly.


2017 ◽  
Author(s):  
Cobi Alison Smith

Crowdsourcing and open licensing allow more people to participate in research and humanitarian activities. Open data, such as geographic information shared through OpenStreetMap and image datasets from disasters, can be useful for disaster response and recovery work. This chapter shares a real-world case study of humanitarian-driven imagery analysis, using open-source crowdsourcing technology. Shared philosophies in open technologies and digital humanities, including remixing and the wisdom of the crowd, are reflected in this case study.


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